Predicting the occurrence of links is a fundamental problem in networks. In the link prediction problem we are given a snapshot of a network and would like to infer which interact...
We present a cryptographic framework to achieve access control, privacy of social relations, secrecy of resources, and anonymity of users in social networks. The main idea is to u...
Mining opinions and sentiment from social networking sites is a popular application for social media systems. Common approaches use a machine learning system with a bag of words f...
Topic modeling techniques have widespread use in text data mining applications. Some applications use batch models, which perform clustering on the document collection in aggregat...
Social networking services are presented as enablers in health and health care. This paper presents the idea of building Social Network system for educating Breast Cancer Patients...
Alaa M. Al-Abad, Basma A. Al-Sahail, Batool A. Al-...